Job Description: Summary:
- FGF believes in Home Grown Talent, accelerated career growth with leadership training. Unleashing Your Potential
- Competitive Compensation, Health Benefits, \& a generous flexible medical / Health spending account
- RRSP matching program
- Tuition reimbursement
- Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc.
Responsibilities:
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Design and implement scalable data architectures on the Databricks platform.
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Develop data models and schemas to support complex analytics and machine learning workloads.
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Ensure data consistency, integrity, and security across all data platforms.
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Lead and mentor a team of data engineers and analysts.
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Foster a collaborative environment that encourages innovation and continuous improvement.
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Provide technical guidance and support to team members.
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Collaborate with data scientists to design and implement AI and machine learning solutions.
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Optimize data pipelines to support real-time analytics and machine learning model training.
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Ensure seamless integration of AI models with existing data systems.
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Develop and enforce data governance policies and best practices.
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Ensure compliance with industry standards and regulations (e.g., GDPR, CCPA).
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Implement data quality and monitoring mechanisms.
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Continuously monitor and optimize data systems for performance and scalability.
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Identify and resolve bottlenecks in data processing and analytics workflows.
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Implement cost-effective solutions to manage data storage and processing.
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Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
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Communicate complex technical concepts to non-technical stakeholders.
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Provide regular updates on project progress and deliverables.
Required Skills and Qualifications:
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Education: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
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Experience: 5 years of experience in data architecture and database design.
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Technical Skills:
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Proficiency in Databricks, Spark, and related big data technologies.
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Strong understanding of data warehousing and data lake architectures.
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Experience with cloud platforms (Azure).
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Knowledge of data governance and compliance frameworks.
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Familiarity with machine learning and AI concepts.
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Leadership Skills:
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Proven experience leading and mentoring teams.
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Strong communication and interpersonal skills.
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Ability to drive projects from concept to completion.
Preferred Skills:
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Certifications: Certifications in Databricks, Azure.
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Domain Expertise: Experience in the CPG Industry with SAP ERP.
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Advanced Analytics: Experience with advanced analytics tools and techniques.
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